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@Nikobar

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Since 06.06.2026

Help with cable management for my hexapod(reddit.com)
Everything works fine, just for these maze of cables, I have run out of ideas, how do I actually get rid of the mess? I am using 2 16 channel servo drivers. all 18 (plus 2 for camera) are connected to those 2. I am using a buck converter on top and a 4200 MAH battery. The raspberry pi relays all info to my laptop and it control the motion additionally i also need space to put an imu sensor over it. Help !! submitted by /u/Grand-Station-6886 [link] [Kommentare]
An open handbook on LLM inference at scale (GPU internals, KV cache, batching, vLLM/SGLang/TensorRT-LLM) [P](reddit.com)
I've been working through the internals of LLM inference and writing up what I learn as an open, in-progress handbook. Just wrapped another chapter on GPU execution and memory internals: why a GPU sits mostly idle during inference, how the memory hierarchy gates throughput, and where the real bottlenecks live. Added mermaid diagrams for the architecture pieces so the flow is easier to follow than a wall of text. It's a personal learning project, still growing chapter by chapter. I'd value feedback or corrections from anyone who's run inference in production, where my mental model breaks down is exactly what I want to find. Issues and PRs welcome. github.com/harshuljain13/llm-inference-at-scale submitted by /u/YouFirst295 [link] [Kommentare]
Doing research(reddit.com)
Building a cross-chain risk detection tool (MetaChain, via Michigan Tech's MTEC SmartZone incubator) and doing customer discovery. Not selling anything here. If you've ever been caught in a rug pull/exploit, or actively work to avoid them: what signals do you actually rely on before entering a position? And was there anything in hindsight that would've warned you earlier? Happy to do a quick DM follow-up with anyone willing to go deeper (15 min, no pitch). Just trying to learn from real experience. submitted by /u/labslizard [link] [Kommentare]